Quiz Grade Analysis

The following report looks at the performance of 30 students over 4 quizzes. The grades data is simulated using random numbers for normal distributions.

library(plotly)

set.seed(123)

data <- data.frame(
  Quiz1 = round(rnorm(30, 60, 5)),
  Quiz2 = round(rnorm(30, 70, 2)),
  Quiz3 = round(rnorm(30, 80, 5)),
  Quiz4 = round(rnorm(30, 75, 10))
  )
data$Average_Quizzes <- round(
  (data$Quiz1 + data$Quiz2 + data$Quiz3 + data$Quiz4) / 4.0)

grades <- data$Average_Quizzes

x <- list(
  title = "Student"
)
y <- list(
  title = "Score"
)

n = length(grades)

p <- plot_ly(x = 1:n, y = grades, name = 'Quizzes', type = 'bar') %>%
  layout(title="Average Quiz Scores", xaxis = x, yaxis = y)
p

Summary of Quiz scores

options(digits=2)
sum_data <- data.frame(
  AvgQuiz = as.vector(summary(data$Average_Quizzes)),
  Quiz1 = as.vector(summary(data$Quiz1)),
  Quiz2 = as.vector(summary(data$Quiz2)),
  Quiz3 = as.vector(summary(data$Quiz3)),
  Quiz4 = as.vector(summary(data$Quiz4))
)

rownames(sum_data) <- c("Min", "Q1", "Q2", "Mean", "Q3", "Max")
sum_data

##      AvgQuiz Quiz1 Quiz2 Quiz3 Quiz4
## Min       63    50    67    68    58
## Q1        70    57    69    78    68
## Q2        72    60    70    80    73
## Mean      71    60    70    80    74
## Q3        73    62    72    82    80
## Max       78    69    74    90    97

Box plot analysis of Average Quiz and the individual Quizzes

plot_ly(data, y = ~Average_Quizzes, type="box", name = 'Avg_Quiz') %>%
  add_trace(p, y = ~Quiz1, name = 'Quiz1') %>%
  add_trace(p, y = ~Quiz2, name = 'Quiz2') %>%
  add_trace(p, y = ~Quiz3, name = 'Quiz3') %>%
  add_trace(p, y = ~Quiz4, name = 'Quiz4') %>%
  layout(yaxis = y)

Conclusions

Add conclusions about the analysis…